TL;DR该论文描述了一种从多个视角观察下推断被叶子遮盖的三维植物分支结构的方法，通过概率框架下的分支结构概率推断，使用图像到图像翻译技术应用于多视角图像，生成代表不能直接观察到的 3D 分支模式的植物 3D 模型，与以前的几何方法相比证明了其方法的实用性。
Abstract
This paper describes a method for inferring three-dimensional (3D) plant branch structures that are hidden under leaves from multi-view observations. Unlike previous geometric approaches that heavily rely on the visibility of the branches or use parametric branching models, our method